Resource allocation to cell envelopes and the scaling of bacterial growth rate.

IF 1.6 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Bogi Trickovic, Michael Lynch
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引用次数: 0

Abstract

Although various empirical studies have reported a positive correlation between the specific growth rate and cell size across bacteria, it is currently unclear what causes this relationship. We conjecture that such scaling occurs because smaller cells have a larger surface-to-volume ratio and thus have to allocate a greater fraction of the total resources to the production of the cell envelope, leaving fewer resources for other biosynthetic processes. To test this theory, we developed a coarse-grained model of bacterial physiology composed of the proteome that converts nutrients into biomass, with the cell envelope acting as a resource sink. Assuming resources are partitioned to maximize the growth rate, the model predicts that the growth rate and ribosomal mass fraction scale negatively, while the mass fraction of envelope-producing enzymes scales positively with surface-to-volume. These relationships are compatible with growth measurements and quantitative proteomics data reported in the literature.

资源分配到细胞包膜和细菌生长速率的缩放。
尽管各种实证研究已经报道了细菌的特定生长速率和细胞大小之间的正相关,但目前尚不清楚是什么导致了这种关系。我们推测,发生这种缩放是因为较小的细胞具有较大的表面体积比,因此必须分配更大比例的总资源用于细胞包膜的生产,留下更少的资源用于其他生物合成过程。为了验证这一理论,我们开发了一个粗粒度的细菌生理学模型,该模型由蛋白质组组成,将营养物质转化为生物量,细胞包膜作为资源库。假设资源被分配以最大化生长速率,该模型预测生长速率和核糖体质量分数成负比例,而产生包膜酶的质量分数随表面体积比成正比例。这些关系与文献中报道的生长测量和定量蛋白质组学数据一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Physical biology
Physical biology 生物-生物物理
CiteScore
4.20
自引率
0.00%
发文量
50
审稿时长
3 months
期刊介绍: Physical Biology publishes articles in the broad interdisciplinary field bridging biology with the physical sciences and engineering. This journal focuses on research in which quantitative approaches – experimental, theoretical and modeling – lead to new insights into biological systems at all scales of space and time, and all levels of organizational complexity. Physical Biology accepts contributions from a wide range of biological sub-fields, including topics such as: molecular biophysics, including single molecule studies, protein-protein and protein-DNA interactions subcellular structures, organelle dynamics, membranes, protein assemblies, chromosome structure intracellular processes, e.g. cytoskeleton dynamics, cellular transport, cell division systems biology, e.g. signaling, gene regulation and metabolic networks cells and their microenvironment, e.g. cell mechanics and motility, chemotaxis, extracellular matrix, biofilms cell-material interactions, e.g. biointerfaces, electrical stimulation and sensing, endocytosis cell-cell interactions, cell aggregates, organoids, tissues and organs developmental dynamics, including pattern formation and morphogenesis physical and evolutionary aspects of disease, e.g. cancer progression, amyloid formation neuronal systems, including information processing by networks, memory and learning population dynamics, ecology, and evolution collective action and emergence of collective phenomena.
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